why aren't all 9 resolved? a statement only gets an assessment when the public
record can support or contradict it. opinions and what-ifs never can, and 0 checkable
ones are still open, waiting for their date. predictions held up or didn't;
assertions are supported or contradicted. on every card:
▮▮▮▮▮ certainty ·
▮▮▮▮▮ debate potential. speakers are clickable
Assertion Not checkable as stated
ClickHouse sees demand to migrate workloads off Snowflake, BigQuery, and Redshift
“In the cloud data warehouse market, to answer your question specifically around Snowflake, we do see demand for customers to migrate off of technologies like BigQuery and Redshift, and Snowflake either for Cost or performance or both.”
Assertion Contradicted
Elsamadisi: Redshift, Snowflake, and BigQuery perform identically on long tables
“The speed improvement on Redshift and versus Snowflake versus BigQuery becomes interchangeable. Because what they handle is for those edge cases, we have like a bunch of, like Snowflake is really good at a bunch of small tables everywhere trying to load a memo…”
Assertion Supported
Muglia: Dynamic compute scaling is impossible with Amazon Redshift
“In fact, it's possible to change the size dynamically on the fly based on the kinds of queries you're running. And none of that is possible with a traditional data warehouse running on premises or even a traditional data warehouse like Redshift running within,…”
Assertion Contradicted
Muglia: Snowflake delivers better price performance than Amazon Redshift
“We were even actually found ourselves to be more price performance Than other cloud solutions like Redshift.”
Assertion Not checkable as stated
Cloud data warehouses enabled modern multi-tool data architectures
“Architectures like this really have only become possible with the rise of folks like Snowflake, Databricks, Redshift, BigQuery, and this idea that as a data practitioner, I can have infinite compute at the kind of tips of my fingers without having to go outsid…”
Assertion Supported
Fraser: Amazon Redshift was the first cheap, fast data warehouse
“Redshift was incredibly important because it was, it came out in 2013. It was in the AWS console. It wasn't the first really good fast data warehouse, but it was the first one that was cheap.”
Opinion
Ben Rogojan is not a fan of Amazon Redshift
“Not a big Redshift fan.”
Assertion Not checkable as stated
Instacart's data stack relies on Postgres, AWS Redshift, Python, and R
“All of our production data is in Postgres, and we will read from the secondaries in AWS. We push all of the Postgres data into Redshift and do a lot of more intensive batch computations off of Redshift. The data science teams are using either Python or R we do…”
Disclosure
Cazena selected Redshift, Greenplum, Cloudera, and RStudio for its data platform
“We picked Redshift and Greenplum for SQL. We picked Cloudetta for Hadoop and Spark. We've added RStudio for data science.”